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---
license: mit
dataset_info:
- config_name: 100_tos
features:
- name: document
dtype: string
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- name: test
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- config_name: privacy_glue__piextract
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dataset_size: 16567862
configs:
- config_name: 100_tos
data_files:
- split: train
path: 100_tos/train-*
- config_name: 10_tos
data_files:
- split: train
path: 10_tos/train-*
- config_name: 142_tos
data_files:
- split: train
path: 142_tos/train-*
- config_name: cuad
data_files:
- split: train
path: cuad/train-*
- config_name: memnet_tos
data_files:
- split: train
path: memnet_tos/train-*
- config_name: multilingual_unfair_clause
data_files:
- split: train
path: multilingual_unfair_clause/train-*
- config_name: polisis
data_files:
- split: train
path: privacy_glue/polisis/train-*
- split: validation
path: privacy_glue/polisis/validation-*
- split: test
path: privacy_glue/polisis/test-*
- config_name: privacy_glue__piextract
data_files:
- split: validation
path: privacy_glue/piextract/validation-*
- split: train
path: privacy_glue/piextract/train-*
- config_name: privacy_glue__policy_detection
data_files:
- split: train
path: privacy_glue/policy_detection/train-*
- config_name: privacy_glue__policy_ie
data_files:
- split: test
path: privacy_glue/policy_ie/test-*
- split: train
path: privacy_glue/policy_ie/train-*
- config_name: privacy_glue__policy_qa
data_files:
- split: test
path: privacy_glue/policy_qa/test-*
- split: dev
path: privacy_glue/policy_qa/dev-*
- split: train
path: privacy_glue/policy_qa/train-*
- config_name: privacy_glue__polisis
data_files:
- split: train
path: privacy_glue/polisis/train-*
- split: validation
path: privacy_glue/polisis/validation-*
- split: test
path: privacy_glue/polisis/test-*
- config_name: privacy_glue__privacy_qa
data_files:
- split: train
path: privacy_glue/privacy_qa/train-*
- split: test
path: privacy_glue/privacy_qa/test-*
---
# A collection of Terms of Service or Privacy Policy datasets
## Annotated datasets
### CUAD
Specifically, the 28 service agreements from [CUAD](https://www.atticusprojectai.org/cuad), which are licensed under CC BY 4.0 (subset: `cuad`).
<details>
<summary>Code</summary>
```python
import datasets
from tos_datasets.proto import DocumentQA
ds = datasets.load_dataset("chenghao/tos_pp_dataset", "cuad")
print(DocumentQA.model_validate_json(ds["document"][0]))
```
</details>
### 100 ToS
From [Annotated 100 ToS](https://data.mendeley.com/datasets/dtbj87j937/3), CC BY 4.0 (subset: `100_tos`).
<details>
<summary>Code</summary>
```python
import datasets
from tos_datasets.proto import DocumentEUConsumerLawAnnotation
ds = datasets.load_dataset("chenghao/tos_pp_dataset", "100_tos")
print(DocumentEUConsumerLawAnnotation.model_validate_json(ds["document"][0]))
```
</details>
### Multilingual Unfair Clause
From [CLAUDETTE](http://claudette.eui.eu/corpora/index.html)/[Multilingual Unfair Clause](https://github.com/nlp-unibo/Multilingual-Unfair-Clause-Detection), CC BY 4.0 (subset: `multilingual_unfair_clause`).
It was built from [CLAUDETTE](http://claudette.eui.eu/corpora/index.html)/[25 Terms of Service in English, Italian, German, and Polish (100 documents in total) from A Corpus for Multilingual Analysis of Online Terms of Service](http://claudette.eui.eu/corpus_multilingual_NLLP2021.zip).
<details>
<summary>Code</summary>
```python
import datasets
from tos_datasets.proto import DocumentClassification
ds = datasets.load_dataset("chenghao/tos_pp_dataset", "multilingual_unfair_clause")
print(DocumentClassification.model_validate_json(ds["document"][0]))
```
</details>
### Memnet ToS
From [100 Terms of Service in English from Detecting and explaining unfairness in consumer contracts through memory networks](https://github.com/federicoruggeri/Memnet_ToS), MIT (subset: `memnet_tos`).
<details>
<summary>Code</summary>
```python
import datasets
from tos_datasets.proto import DocumentClassification
ds = datasets.load_dataset("chenghao/tos_pp_dataset", "memnet_tos")
print(DocumentClassification.model_validate_json(ds["document"][0]))
```
</details>
### 142 ToS
From [142 Terms of Service in English divided according to market sector from Assessing the Cross-Market Generalization Capability of the CLAUDETTE System](http://claudette.eui.eu/corpus_142_ToS.zip), Unknown (subset: `142_tos`). This should also includes [50 Terms of Service in English from "CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service"](http://claudette.eui.eu/ToS.zip).
<details>
<summary>Code</summary>
```python
import datasets
from tos_datasets.proto import DocumentClassification
ds = datasets.load_dataset("chenghao/tos_pp_dataset", "142_tos")
print(DocumentClassification.model_validate_json(ds["document"][0]))
```
</details>
### 10 ToS/PP
From [5 Terms of Service and 5 Privacy Policies in English and German (10 documents in total) from Cross-lingual Annotation Projection in Legal Texts](https://bitbucket.org/a-galaxy/cross-lingual-annotation-projection-in-legal-texts), GNU GPL 3.0 (subset: `10_tos`)
<details>
<summary>Code</summary>
```python
import datasets
from tos_datasets.proto import DocumentClassification
ds = datasets.load_dataset("chenghao/tos_pp_dataset", "10_tos")
print(DocumentClassification.model_validate_json(ds["document"][0]))
```
</details>
### PolicyQA
> [!IMPORTANT]
> This dataset seems to have some annotation issues where __unanswerable__ questions are still answered with SQuAD-v1 format instead of the v2 format.
From [PolicyQA](https://github.com/wasiahmad/PolicyQA), MIT (subset: `privacy_glue/policy_qa`).
<details>
<summary>Code</summary>
```python
import datasets
from tos_datasets.proto import DocumentQA
ds = datasets.load_dataset("chenghao/tos_pp_dataset", "privacy_glue/policy_qa")
print(DocumentQA.model_validate_json(ds["train"]["document"][0]))
```
</details>
### PolicyIE
From [PolicyIE](https://github.com/wasiahmad/PolicyIE), MIT (subset: `privacy_glue/policy_ie`).
<details>
<summary>Code</summary>
```python
import datasets
from tos_datasets.proto import DocumentSequenceClassification, DocumentEvent
ds = datasets.load_dataset("chenghao/tos_pp_dataset", "privacy_glue/policy_ie")
print(DocumentSequenceClassification.model_validate_json(ds["train"]["type_i"][0]))
print(DocumentEvent.model_validate_json(ds["train"]["type_ii"][0]))
```
</details>
### Policy Detection
From [policy-detection-data](<https://github.com/infsys-lab/policy-detection-data>, GPL 3.0 (subset: `privacy_glue/policy_detection`).
<details>
<summary>Code</summary>
```python
import datasets
from tos_datasets.proto import DocumentClassification
ds = datasets.load_dataset("chenghao/tos_pp_dataset", "privacy_glue/policy_detection")
print(DocumentClassification.model_validate_json(ds["train"]["document"][0]))
```
</details>
### Polisis
From [Polisis](https://github.com/SmartDataAnalytics/Polisis_Benchmark), Unknown (subset: `privacy_glue/polisis`).
<details>
<summary>Code</summary>
```python
import datasets
from tos_datasets.proto import DocumentClassification
ds = datasets.load_dataset("chenghao/tos_pp_dataset", "privacy_glue/polisis")
print(DocumentClassification.model_validate_json(ds["test"]["document"][0]))
```
</details>
### PrivacyQA
From [PrivacyQA](https://github.com/AbhilashaRavichander/PrivacyQA_EMNLP), MIT (subset: `privacy_qa`).
<details>
<summary>Code</summary>
```python
import datasets
from tos_datasets.proto import DocumentClassification
ds = datasets.load_dataset("chenghao/tos_pp_dataset", "privacy_glue/privacy_qa")
print(DocumentClassification.model_validate_json(ds["test"]["document"][0]))
```
</details>
### Piextract
From [Piextract](https://github.com/um-rtcl/piextract_dataset), Unknown (subset: `privacy_glue/piextract`).
<details>
<summary>Code</summary>
```python
import datasets
from tos_datasets.proto import DocumentSequenceClassification
ds = datasets.load_dataset("chenghao/tos_pp_dataset", "privacy_glue/piextract")
print(DocumentSequenceClassification.model_validate_json(ds["train"]["document"][0]))
```
</details>
## WIP
- <del>[Annotated Italian TOS sentences](https://github.com/i3-fbk/LLM-PE_Terms_and_Conditions_Contracts), Apache 2.0</del> Only sentence level annotations, missing original full text
- <del>[Huggingface](https://huggingface.co/datasets/CodeHima/TOS_Dataset), MIT</del> Only sentence level annotations, missing original full text
- [ ] [ToSDR API](https://developers.tosdr.org/dev/get-service-v2), Unknown
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